Intelligent optofluidic analysis for ultrafast single bacterium profiling of cellulose production and morphology.,Lab on a Chip

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Intelligent optofluidic analysis for ultrafast single bacterium profiling of cellulose production and morphology.
Lab on a Chip ( IF 6.1 ) Pub Date : 2020-01-10 , DOI: 10.1039/c9lc01105f
Jiaqing Yu ₁ , Guoyun Sun ₁ , Nicholas Weikang Lin ₁ , Sundaravadanam Vishnu Vadanan ₂ , Sierin Lim ₂ , Chia-Hung Chen ₃

Affiliation

Bacterial cellulose (BC), a renewable type of cellulose, has been used in the manufacture of foods, cosmetics, and biomedical products. To produce BC, a high-throughput single-bacterium measurement is necessary to identify the functional bacteria that can produce BC with sufficient amount and desirable morphology. In this study, a continuous-flow intelligent optofluidic device was developed to enable high-throughput single-bacterium profiling of BC. Single bacteria were incubated in agarose hydrogel particles to produce BC with varied densities and structures. An intelligent convolutional neural network (CNN) computational method was developed to analyze the scattering patterns of BC. The BC production and morphology were determined with a throughput of ∼35 bacteria per second. A total of ∼105 single-bacterium BC samples were characterized within 3 hours. The high flexibility of this approach facilitates high-throughput comprehensive single-cell production analysis for a range of applications in engineering biology.

中文翻译：

智能光流分析技术可对纤维素生产和形态进行超快速单细菌分析。

细菌纤维素（BC）是一种可再生的纤维素，已用于制造食品，化妆品和生物医学产品。要生产BC，必须进行高通量的单菌测量以鉴定可以产生足够数量和所需形态的BC的功能细菌。在这项研究中，开发了一种连续流智能光流控设备，可实现BC的高通量单细菌分析。将单个细菌在琼脂糖水凝胶颗粒中孵育，以产生具有不同密度和结构的BC。开发了一种智能卷积神经网络（CNN）计算方法来分析BC的散射模式。用每秒约35个细菌的通量来确定BC的产生和形态。在3小时内对总共约105个单细菌BC样品进行了表征。这种方法的高度灵活性促进了高通量的全面单细胞生产分析，可用于工程生物学中的一系列应用。

更新日期：2020-02-13

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